The Path of Film and Television Animation Creation Using Virtual Reality Technology under the Artificial Intelligence

Xin Liu,Hua Pan,Punit Gupta

doi:10.1155/2022/1712929

Abstract

The purpose is to provide a more reliable human-computer interaction (HCI) guarantee for animation works under virtual reality (VR) technology. Inspired by artificial intelligence (AI) technology and based on the convolutional neural network—support vector machine (CNN-SVM), the differences between animation works under VR technology and traditional animation works are analyzed through a comprehensive analysis of VR technology. The CNN-SVM gesture recognition algorithm using the error correction strategy is designed based on HCI recognition. To have better recognition performance, the advantages of depth image and color image are combined, and the collected information is preprocessed including the relations between the times of image training iterations and the accuracy of different methods in the direction of the test set. After experiments, the maximum accuracy of the preprocessed image can reach 0.86 showing the necessity of image preprocessing. The recognition accuracy of the optimized CNN-SVM is compared with other algorithm models. Experiments show that the accuracy of the optimized CNN-SVM has an upward trend compared with the previous CNN-SVM, and the accuracy reaches 0.97. It proves that the designed algorithm can provide good technical support for VR animation, so that VR animation works can interact well with the audience. It is of great significance for the development of VR animation and the improvement of people’s artistic life quality.

Highlights

Virtual reality (VR) technology is making continuous progress with the continuous development of science and technology, providing a new production method for animation creation [1]. e change of the new VR animation’ production mode leads to the corresponding change of the final work experience mode [2]
With the continuous development of science and technology, VR is making continuous progress. It provides a new production method for animation creation. e animation works based on VR need the support of a reliable human-computer interaction technology when they are in use
Based on convolutional neural network—support vector machine (CNN-support vector machine (SVM)), the differences between animation works under virtual reality technology and traditional animation works are analyzed based on VR, and the CNNSVM gesture recognition algorithm based on the error correction strategy is discussed from the perspective of human-computer interaction. e advantages of depth images and color images are combined, and the collected information is preprocessed to make the algorithm have better recognition performance

Summary

Introduction

Virtual reality (VR) technology is making continuous progress with the continuous development of science and technology, providing a new production method for animation creation [1]. e change of the new VR animation’ production mode leads to the corresponding change of the final work experience mode [2]. Virtual reality (VR) technology is making continuous progress with the continuous development of science and technology, providing a new production method for animation creation [1]. Human-computer interaction (HCI) technology under artificial intelligence (AI) needs to be further discussed to provide more possibilities for animation creation under VR technology [3]. E static recognition has gradually changed from the artificial feature extraction method to the mainstream convolutional neural network (CNN) feature extraction method, which has a more efficient recognition ability. On this basis, scholars have proposed gesture recognition using a neural network as a classifier. Gesture recognition is used more in interaction, so related research is very crucial. e existing gesture

Methods

Results

Conclusion